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Sundar Singaravel

Consultor / Investigador independiente / Particular

Particular

Schoten, Bélgica

Machine learning aplicado a la predicción energética de edificios, simulación energética, modelado computacional y análisis del desempeño energético en etapas tempranas del diseño.

Machine Learning, KU Leuven. Bélgica, 2020
Sustainable Energy Technology, Eindhoven University of Technology. Holanda, 2011
Mechanical Engineering, VIT University. India, 2009

PhD Researcher Full Time

KU Leuven

Leuven, Bélgica

2015 - 2020

Principal Data Scientist Full Time

Bricsys

Gent, Bélgica

2020 - A la fecha
Data Scientist Full Time

Renson Ventilation

Waregem, Bélgica

2019 - 2020
Building Energy Simulation Engineer / Team Lead Full Time

Mott MacDonald

Chennai, India

2014 - 2015
Building Energy Simulation Engineer Full Time

Freelance

Chennai, India

2014 - 2014
Building Energy Simulation Engineer Full Time

Cauberg-Huygen

Rotterdam, Holanda

2012 - 2013

Contribución a la formación de capital humano a través de especialización avanzada en machine learning, simulación energética y modelado computacional, sustentada en formación doctoral, producción científica y participación en proyectos interdisciplinarios vinculados al diseño y desempeño energético de edificios.

Difusión de resultados mediante publicaciones científicas en revistas y conferencias internacionales en las áreas de machine learning aplicado, predicción energética de edificios y modelado computacional. Transferencia de conocimiento mediante aplicación de metodologías de ciencia de datos, simulación energética e inteligencia artificial en entornos profesionales e industriales, incluyendo desarrollo de soluciones para diseño de edificios, desempeño energético y analítica de datos.


Machine learning for early stage building energy prediction: Increment and enrichment Singh, Manav Mahan; Singaravel, Sundaravelpandian; Geyer, Philipp Article ISI APPLIED ENERGY (2021)
Machine Learning for Occupancy Detection through Smart Home Sensor Data Singaravel, Sundar; Delrue, S.; Pollet, I.; Vandekerckhove, S. Article (2021)
Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings Singaravel, Sundar Article (2020)
Quick energy prediction and comparison of options at the early design stage Singh, Manav Mahan; Singaravel, Sundaravelpandian; Klein, Ralf; Geyer, Philipp Article ISI ADVANCED ENGINEERING INFORMATICS (2020)
Deep convolutional learning for general early design stage prediction models Singaravel, Sundaravelpandian; Suykens, Johan; Geyer, Philipp Article ISI ADVANCED ENGINEERING INFORMATICS (2019)
Component-based machine learning for performance prediction in building design Geyer, Philipp; Singaravel, Sundaravelpandian Article ISI APPLIED ENERGY (2018)
Deep-learning neural-network architectures and methods: Using component based models in building-design energy prediction Singaravel, Sundaravelpandian; Suykens, Johan; Geyer, Philipp Article ISI ADVANCED ENGINEERING INFORMATICS (2018)
Deep neural network architectures for component-based machine learning model in building energy predictions Singaravel, S.; Geyer, P.; Suykens, J. Article (2017)
Parametric Building Energy Models Based on Machine Learning for Buildings Design Strategies Singaravel, S.; Geyer, P. Article (2017)
Simplifying Building Energy Performance Models to Support an Integrated Design Workflow Singaravel, S.; Geyer, P. Article (2016)
Simulation-based support for product development of innovative building envelope components Loonen, R. C. G. M.; Singaravel, S.; Trcka, M.; Costola, D.; Hensen, J. L. M. Article ISI AUTOMATION IN CONSTRUCTION (2014)


Improving Prediction Accuracy of Machine Learning Energy Prediction Models Singh, M. M.; Singaravel, S.; Geyer, P. ConferencePaper (2019)

Sundar Singaravel

Consultor / Investigador independiente / Particular

Particular

Schoten, Bélgica

Sundar Singaravel

Líneas de Investigación

Educación

Machine Learning, KU Leuven. Bélgica, 2020

Sustainable Energy Technology, Eindhoven University of Technology. Holanda, 2011

Mechanical Engineering, VIT University. India, 2009

Experiencia Académica

PhD Researcher Full Time

Experiencia Profesional

Principal Data Scientist Full Time

Data Scientist Full Time

Building Energy Simulation Engineer / Team Lead Full Time

Building Energy Simulation Engineer Full Time

Building Energy Simulation Engineer Full Time

Formación de Capital Humano

Difusión y Transferencia

Article (11)

Machine learning for early stage building energy prediction: Increment and enrichment

Machine Learning for Occupancy Detection through Smart Home Sensor Data

Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings

Quick energy prediction and comparison of options at the early design stage

Deep convolutional learning for general early design stage prediction models

Component-based machine learning for performance prediction in building design

Deep-learning neural-network architectures and methods: Using component based models in building-design energy prediction

Deep neural network architectures for component-based machine learning model in building energy predictions

Parametric Building Energy Models Based on Machine Learning for Buildings Design Strategies

Simplifying Building Energy Performance Models to Support an Integrated Design Workflow

Simulation-based support for product development of innovative building envelope components

ConferencePaper (1)

Improving Prediction Accuracy of Machine Learning Energy Prediction Models

Sundar Singaravel